Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

By Mohamed Amine Ferrag, Lei Shu, Xing Yang, Abdelouahid Derhab, Leandros A. Maglaras. IEEE Access, 2020

319 citations recorded by the source corpus.

This paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/d5bf8c0305acfce56a6265aeea4ad717bda6d791

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Adnan M. Abu-Mahfouz
2. Lei Shu
3. Edmond Nurellari
4. Kai Huang
5. Xing Yang
6. Jianing Chen
7. Mohamed Amine Ferrag
8. Gerhard P. Hancke Jr.

In Information Systems

1. Lei Shu
2. Edmond Nurellari
3. Kai Huang
4. Xing Yang
5. Jianing Chen
6. Mohamed Amine Ferrag

Citations in the corpus

• A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges (2021, background): “Gondchawar et al. sought to make agriculture smart by using automation and IoT technology, e.g., smart GPS-based remote-controlled robot, smart irrigation with decision-making sys-tem, and smart warehouse management [4].”
• From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges (2020, background): “The security and privacy solutions for IoT applications are surveyed in [23].”
• Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, unknown): “[16] √ √ ◑ × × × × × × × × × √ × × × √ 2020”